| 2023 | ICMLA | Node Selection in Federated Learning Using Sparsity Regularization and Compressive Sensing. | Mohammad Munzurul Islam, Mohammed Alawad |
| 2020 | DeSE | Inter - intra observer variability using deep learning and traditional image processing for breast cancer. | Ahmed Almazroa, Barrak Alsomaie, Najd Alluhaydan, Amal Alhaidary, Mohammed Fahim, Wadood Abdul, Mohammed Alawad, Altaf Khan, Ebtihal Alenezi, Taghreed almotairi, AlJowharah Alyahya, Raghad Alfulayj, Manar Althobaiti, Jawaher bin Maythir |
| 2017 | FPGA | Stochastic-Based Multi-stage Streaming Realization of a Deep Convolutional Neural Network (Abstract Only). | Mohammed Alawad, Mingjie Lin |
| 2016 | FPGA | Stochastic-Based Convolutional Networks with Reconfigurable Logic Fabric (Abstract Only). | Mohammed Alawad, Mingjie Lin |
| 2015 | FCCM | FIR Filter Based on Stochastic Computing with Reconfigurable Digital Fabric. | Mohammed Alawad, Mingjie Lin |
| 2015 | FPGA | Energy-Efficient High-Order FIR Filtering through Reconfigurable Stochastic Processing (Abstract Only). | Mohammed Alawad, Mingjie Lin |
| 2014 | FPGA | Energy-efficient multiplier-less discrete convolver through probabilistic domain transformation. | Mohammed Alawad, Yu Bai, Ronald F. DeMara, Mingjie Lin |
| 2014 | FPGA | Optimally mitigating BTI-induced FPGA device aging with discriminative voltage scaling (abstract only). | Yu Bai, Mohammed Alawad, Mingjie Lin |
| 2013 | FCCM | Boosting Memory Performance of Many-Core FPGA Device through Dynamic Precedence Graph. | Yu Bai, Abigail Fuentes-Rivera, Michael Riera, Mohammed Alawad, Mingjie Lin |